Online courses directory (19947)

Video games as a medium go back more than 50 years to mainframe computers. Even the central design of video games can be traced back to the first games themselves.

To be a good game designer, it’s essential to have an understanding of the video game design industry’s fascinating history.

We’ve partnered with The Strong National Museum of Play to give you a unique look into the history of all things video game. The International Center for the History of Electronic Games at The Strong is the largest and most comprehensive public assemblage of video games and related materials in the world. The staff are celebrated experts in the field and the ICHEG is visited by scholars of video games from around the world. You’ll gain amazing insight into the history of video games with a guided exploration of key artifacts from the collection of more than 100,000 electronic games and materials.

Computer fonts, Angry Birds, March Madness, and Google - sound like fun? Indeed, math influences the world around us.

Learn how to think more methodically and how to solve problems more effectively

Learn Organic Chemistry from UC Irvine Professor James Nowick

Why "is" biology log-normal? Why do some circuits oscillate? See biology from a physical sciences perspective.

This course is part of the MITx MicroMasters program in Data, Economics, and Development Policy (DEDP). To audit this course, click “Enroll Now” in the green button at the top of this page.

To enroll in the MicroMasters track or to learn more about this program and how it integrates with MIT’s new blended Master’s degree, go to MITx’s MicroMasters portal. 

In this course, we will study the different facets of human development in topics such as education, health, gender, the family, land relations, risk, informal and formal norms, public policy, and institutions. While studying each of these topics, we will delve into the following questions:

• What determines the decisions of poor households in developing countries?
• What constraints are poor households subject to?
• What is the scope for policy interventions (implemented by the government, international organizations, or NGOs)?
• What policies have been tried out? Have they been successful?

At the same time, you will discover modern empirical methods in economics, in particular Randomized Control Trials (RCTs). Throughout the course, we will expose you to all facets of empirical projects, from experimental design and ethical issues, to data collection and data analysis.You will have the chance to gain experience working with real data using software for statistical analysis during weekly assignments.

This is the second course of “Four Facets of Contemporary Japanese Architecture” series, with the focus on the second facet: technology.

The technology portion will focus on works by architects who explored the use of technology—from techniques used for traditional crafts to computational processes—as a vehicle for their investigations into the conceptualization and production of architecture. Tadao Ando, Shigeru Ban, Manabu Chiba, Kengo Kuma, Kazuhiko Namba, and Yusuke Obuchi will visit their buildings to discuss the ideas behind their respective works.

Production Team

Music by Jun Miyake

Organized by (T_ADS) Kengo Kuma, Yusuke Obuchi, Toshihiko Kiuchi

Filmed by Hiromoto Oka

Across organizations, managers are expected to have sound knowledge of finance and accounting. As part of their job, managers use large volumes of information produced by accounting systems to make business decisions every day.

This business and management course will show you how accounting information is relevant to managers, and how it can be processed and analyzed for effective managerial decision-making. By examining accounting information that is extensively used across three key managerial functions of planning, decision-making and controlling, the course equips non-finance managers with basic accounting and finance skills. This course also discusses activity based costing, which provides insight on the cost structure of products and services.

What sets this course apart is the practicing manager-centric approach that is a part of each week of the course. Whether you are a student or a practicing manager, this course will allow you to easily follow all topics and directly apply concepts in practice.

The "sense-and-correct" nature of feedback controllers make them an appealing choice for systems whose actuators, or environments, are highly variable. If the system also requires high performance (e.g. an industrial robot, a car, or an aircraft), the usual approach is to use a state-space feedback controller derived from a physics-based model. And when performance is less critical (e.g. for toys and appliances), the traditional choice has been to tune a low-cost proportional-derivative-integral (PID) controller.

Over the last few years, much has changed. The dramatic decline in the cost of accurate sensors and fast microcontrollers have made state-space controllers practical even for inexpensive toys. In addition, modeling approaches have become far more reliant on measurement and computation rather than physics and analysis. In this course, we examine the theory and application of this arc of alternatives to control, starting with PID, then moving to physical-modeling and state-space, and ending with state-space using measurement-based modeling. In each case, you will design and test controllers with your own copter-levitated arm, to solidify your understanding and to gain insight in to the practical issues.

PLEASE NOTE: This is intended to be an advanced course and students should have a background in linear algebra and differential equations, as well as some experience with control systems. IN ADDITION: THIS IS A BETA COURSE, THINGS WILL GO WRONG. We are testing a new type of on-line class, one where students use advanced concepts to design and then examine performance results on their own hardware. There will be difficulties, and we will be updating content and focus in response to student input.

A bunch of video tutorials to make GCSE Maths a whole lot easier. This course is pitched at the D/C borderline.

Discover the big ideas and thinking practices in computer science plus learn how to code using one of the friendliest programming languages, Snap! (based on Scratch).

Computing has profoundly changed the world, opening up wonderful new ways for people to connect, design, research, play, create, and express themselves. However, just using a computer is only a small part of the picture. The real transformative and empowering experience comes when one learns how to program the computer, to translate ideas into code.

This course teaches students how to do exactly that, using Snap! (based on Scratch), one of the friendliest programming languages ever invented. It's purely graphical, which means programming involves simply dragging blocks around, and building bigger blocks out of smaller blocks. But this course is far more than just learning to program. We focus on seven big ideas (creativity, abstraction, data and information, algorithms, programming, the Internet, and global impact), and six computational thinking practices (connecting computing, creating computational artifacts, abstracting, analyzing problems and artifacts, communicating, and collaborating). Throughout the course, relevance is emphasized: relevance to the student and to society.

Topics include:

• Abstraction
• Programming Paradigms Algorithms
• Global Implications of Computing
• Lab-Based Topics: Snap! Programming, Conditionals and Abstraction, Lists and the Internet

This fun, introductory course is not just for computer science majors, it’s for everyone… join us!

Probability and inference are used everywhere. For example, they help us figure out which of your emails are spam, what results to show you when you search on Google, how a self-driving car should navigate its environment, or even how a computer can beat the best Jeopardy and Go players! What do all of these examples have in common? They are all situations in which a computer program can carry out inferences in the face of uncertainty at a speed and accuracy that far exceed what we could do in our heads or on a piece of paper.

In this data analysis and computer programming course, you will learn the principles of probability and inference. We will put these mathematical concepts to work in code that solves problems people care about. You will learn about different data structures for storing probability distributions, such as probabilistic graphical models, and build efficient algorithms for reasoning with these data structures.

By the end of this course, you will know how to model real-world problems with probability, and how to use the resulting models for inference.

You don’t need to have prior experience in either probability or inference, but you should be comfortable with basic Python programming and calculus.

“I love that you can do so much with the material, from programming a robot to move in an unfamiliar environment, to segmenting foreground/background of an image, to classifying tweets on Twitter—all homework examples taken from the class!” – Previous Student in the residential version of this new online course.

Technology has greatly altered how we write, listen to and enjoy music. This music course will show you how to apply new technologies to your own creative practice. Music Technology Foundations draws on Adelaide’s world-class pioneering expertise in making electronic music, to provide a great foundation to a career in music and to enable any learner to use technology in creative ways.

In Music Technology Foundations, you’ll learn about the core principles of music technology, including sound, audio, MIDI, effects and sequencing. Each week, you’ll complete creative practical tasks in freeware and browser based apps, and you’ll share the music you make with the course instructors and fellow learners. This practical work is underpinned with historical context and essential theory, so that you can gain even greater insight into your music.

A virtual team is a small temporary groups of geographically, organizationally and/ or time dispersed knowledge workers

A fascinating overview of the field of public health: how it keeps us safe and healthy and why it matters.

Learn game theory from Yale professor Ben Polak. Topics covered include: dominance, signaling, commitment, and more.

Lecture - 24 GraphsrnLecture Series on Data Structures and Algorithms by Dr. Naveen Garg, Department of Computer Science

Lecture Series on Quantum Physics by Prof.V.Balakrishnan, Department of Physics, IIT Madras.

Discover the big ideas and thinking practices in computer science plus learn how to code using one of the friendliest programming languages, Snap! (based on Scratch).

Computing has profoundly changed the world, opening up wonderful new ways for people to connect, design, research, play, create, and express themselves. However, just using a computer is only a small part of the picture. The real transformative and empowering experience comes when one learns how to program the computer, to translate ideas into code.

This course teaches students how to do exactly that, using Snap! (based on Scratch), one of the friendliest programming languages ever invented. It's purely graphical, which means programming involves simply dragging blocks around, and building bigger blocks out of smaller blocks. But this course is far more than just learning to program. We focus on seven big ideas (creativity, abstraction, data and information, algorithms, programming, the Internet, and global impact), and six computational thinking practices (connecting computing, creating computational artifacts, abstracting, analyzing problems and artifacts, communicating, and collaborating). Throughout the course, relevance is emphasized: relevance to the student and to society.

Topics include:

• Data and Information
• Complexity Theory
• Recursion, Lambda and Higher Order Functions
• Artificial Intelligence
• Human Computer Interaction
• Lab-based Topics: Algorithms and Data, Trees and Fractals, Recursion and Higher Order Functions

This fun, introductory course is not just for computer science majors, it’s for everyone… join us!

Plasma, the fourth state of matter, is by far the most abundant form of known matter in the universe. Its behavior is very different from the other states of matter we are usually familiar with. To understand it, a rigorous formalism is required. This is essential not only to explain important astrophysical phenomena, but also to optimize many industrial and medical applications and for achieving fusion energy on Earth.

This physics course, taught by world-renowned experts of the field, gives you the opportunity to acquire a basic knowledge of plasma physics. A rigorous introduction to the plasma state will be followed by a description of the models, from single particle, to kinetic and fluid, which can be applied to study its dynamics. You will learn about the waves that can exist in a plasma and how to mathematically describe them, how a plasma can be controlled by magnetic fields, and how its complex and fascinating behavior is simulated using today’s most powerful supercomputers.

This course is the first of two courses introducing plasma physics and its applications. After completing this course, you will have the prerequisites to enjoy Plasma Physics: Applications, which deals with plasma applications in astrophysics, industry, and nuclear fusion.